Saudi Cultural Missions Theses & Dissertations
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Item Restricted Modeling, Optimization, and Characterization for Choke Horn Antennas(University of Arkansas, 2024) Alquaydheb, Ibrahim Nasser I; El-Ghazaly, Samir M.This dissertation presents a comprehensive study focusing on the modeling, optimization, and characterization of choke horn antennas (CHAs). An analytical model designed to capture the parameters of CHA and derive the total radiated fields from the choke and waveguide elements is primarily focused on in this work. Compared to the use of simulation software, such as ANSYS HFSS (High Frequency Structure Simulator) or CST Studio, which employs numerical methods to simulate and calculate antenna performance, numerous advantages are offered by the analytical model. Analytical models provide deeper insight into electromagnetic interactions and the principles governing antenna behavior, leading to a better understanding of antenna operations and allowing for the prediction of antenna performance without the need for extensive optimization sweeps commonly used in numerical methods. Moreover, in terms of computational resources, analytical solutions can be more efficient. Substantial computational power and time, especially for complex models or fine resolution, are required by numerical methods and simulations, whereas results are often produced more quickly and with less demand on computing resources by analytical models. The first modeling approach that was explored incorporated the application of the Geometrical Theory of Diffraction (GTD), which extends Geometrical Optics principles to include diffraction alongside direct, reflected, and refracted waves. The curved edges of the choke were simplified into wedges, which facilitated the application of GTD. Additionally, the calibration of the GTD analytical model against simulation results, through the adjustment of constants derived from waveguide far-field components, established an accurate comparison with ANSYS HFSS simulations, validating the GTD approach and revealing an excellent agreement between the model and simulation data. Another modeling technique is presented for a single and double choke, which leverages the electrical current distribution of the parasitic elements to obtain the total radiated fields. The electrical current distribution of the choke will be simulated using software (the empirical part) and then imported into a derived mathematical formulation (the analytical part), resulting in a hybrid model. The electric and magnetic fields, which are excited directly from the distribution of the source currents, will be calculated through vector potentials, and the analysis will be simplified by discretizing the current distribution and employing Riemann sums for field approximation. The results of the model will be validated against ANSYS HFSS simulations which demonstrated significant computational speed improvements over conventional methods, enabling rapid design iterations and optimizations, thereby confirming its potential to enhance antenna design processes. Finally, a novel rectangular choke horn antenna was designed and analyzed using the hybrid method. The geometry of the antenna’s feed removes the need for rectangular-to-circular waveguide transitions, successfully tackling the issues of mode conversion and the possible compromise of signal integrity caused by imperfections in transitions. Gradient boosting and neural network algorithms were used to predict the current distributions and antenna performance values. The antenna was fabricated, and its radiation patterns were measured to validate the model and simulation results, which showed excellent agreement.31 0Item Restricted IN-LABORATORY SIMPLIFIED IMAGE-BASED EMPIRICAL POLARIMETRIC BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTION MEASUREMENT USING 3D GEOMETRIC TARGETS(University of Dayton, 2024-04-21) Aldkeelalah, Sultan; Ratliff, BradleyThe bidirectional reflectance distribution function (BRDF) is essential to remote sensing, computer graphics, and material science applications. It aids the development of photo-realistic rendering models, target detection and recognition, and atmospheric characterization tasks in remote sensing. BRDF measurements are cumbersome to make, requiring dense, full hemispherical sampling that often results in millions of individual measurements conducted at precise sensor and illumination source geometries. Methods have been proposed based upon theoretical, experimental, and empirical approaches that aim to simplify the data collection process. Empirically, researchers have proposed using targets of different geometric shapes in conjunction with image-based sensors to acquire measurements in parallel, thus reducing the acquisition time. This work surveys studies of such proposed methods to measure BRDF/polarimetric BRDF (pBRDF). Our group previously presented a fast and simple framework for empirically measuring the pBRDF using a linear imaging polarimeter from novel 3D-printed geodesic target spheres with well-characterized surface facets under outdoor environmental conditions. The models derived from this approach were validated against physics-based models and demonstrated good agreement. In this work, we present a modified approach to conduct similar measurements on the same faceted objects in a laboratory environment. The Applied Sensing Lab at the University of Dayton has constructed a solar simulation laboratory that allows for highly accurate and repeatable positioning of light sources, sensors, and objects. The laboratory contains both collimated (direct sun) and diffuse (downwelling) light sources that we have spectrally tuned in this work to match expected solar irradiance under a range of outdoor conditions. The laboratory-based pBRDF models obtained by our proposed framework validate strongly against their corresponding outdoor, spectroradiometric measurements (ground truth), and physics-based models.27 0